FRCSyn-onGoing: Benchmarking and comprehensive evaluation of real and synthetic data to improve face recognition systems

Pietro Melzi, Ruben Tolosana, Rubén Vera-Rodríguez, Minchul Kim, Christian Rathgeb, Xiaoming Liu, Ivan DeAndres-Tame, Aythami Morales, Julian Fiérrez, Javier Ortega-Garcia, Weisong Zhao, Xiangyu Zhu, Zheyu Yan, Xiaoyu Zhang, Jinlin Wu, Zhen Lei, Suvidha Tripathi, Mahak Kothari, Md Haider Zama, Debayan Deb et al. (27 additional authors not shown)

Abstract: Highlights•Challenges in face recognition: Privacy, demographic bias, and generalization.•Synthetic data offer privacy and large-scale databases with desired characteristics.•FRCSyn-onGoing: first challenge investigates face recognition and synthetic data.•Fusion of real and synthetic data, among others, can mitigate several challenges.